Combining agent-based and stock-flow modelling approaches in a participative analysis of the integrated land system in Reichraming, Austria

2009 ◽  
Vol 24 (9) ◽  
pp. 1149-1165 ◽  
Author(s):  
Veronika Gaube ◽  
Christina Kaiser ◽  
Martin Wildenberg ◽  
Heidi Adensam ◽  
Peter Fleissner ◽  
...  
Author(s):  
Andrii Vozniuk ◽  
Volodymyr Kaskiv

The paper describes an analysis of the traffic flow characteristics and individual vehicle characteristics used for design decisions. Traffic flow statistic obtained with the help of Weigh in Motion System is presented. The brief analysis of the main traffic flow characteristics is performed, the need for traffic flow modelling approaches updating is outlined.


Agents are relatively autonomous computational objects. They can slightly differ in values of their properties, called attributes, and can as well have different number of quite different properties. Agents exchange messages and carry out activities influencing other agents and environment. Agent activities are defined by its own rules that can be static or dynamic. Simulation of various phenomena using agents are called agent-based modelling (ABM). ABM enables observation and investigation of processes that are complicated to be modelled by other modelling means. The purpose of this chapter is to demonstrate the agent-based approach for modelling and analyzing agents-customers flow to shops or service places. Each agent randomly with defined probability decides if the service is to be booked or not. Flow of customers is modelled by another kind of single agent environment. This real-world process modelling by means of agents enables to collect statistics and to compare outcomes with similar analytical results.


2017 ◽  
Vol 82 ◽  
pp. 176 ◽  
Author(s):  
Alessandro Caiani ◽  
Antoine Godin ◽  
Eugenio Caverzasi ◽  
Mauro Gallegati ◽  
Stephen Kinsella ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Peng Han ◽  
Jinkuan Wang ◽  
Yan Li ◽  
Yinghua Han

The large adoption of electric vehicles (EVs), hybrid renewable energy systems (HRESs), and the increasing of the loads shall bring significant challenges to the microgrid. The methodology to model microgrid with high EVs and HRESs penetrations is the key to EVs adoption assessment and optimized HRESs deployment. However, considering the complex interactions of the microgrid containing massive EVs and HRESs, any previous single modelling approaches are insufficient. Therefore in this paper, the methodology named Hierarchical Agent-based Integrated Modelling Approach (HAIMA) is proposed. With the effective integration of the agent-based modelling with other advanced modelling approaches, the proposed approach theoretically contributes to a new microgrid model hierarchically constituted by microgrid management layer, component layer, and event layer. Then the HAIMA further links the key parameters and interconnects them to achieve the interactions of the whole model. Furthermore, HAIMA practically contributes to a comprehensive microgrid operation system, through which the assessment of the proposed model and the impact of the EVs adoption are achieved. Simulations show that the proposed HAIMA methodology will be beneficial for the microgrid study and EV’s operation assessment and shall be further utilized for the energy management, electricity consumption prediction, the EV scheduling control, and HRES deployment optimization.


2014 ◽  
Vol 38 (17-18) ◽  
pp. 4163-4174 ◽  
Author(s):  
Gary J. Brown ◽  
David S. Whyte ◽  
David F. Fletcher

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